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public static final class AutoMlImageSegmentationMetadata.Builder extends GeneratedMessage.Builder<AutoMlImageSegmentationMetadata.Builder> implements AutoMlImageSegmentationMetadataOrBuilderProtobuf type
google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata
Inheritance
java.lang.Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessage.Builder > AutoMlImageSegmentationMetadata.BuilderImplements
AutoMlImageSegmentationMetadataOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
Methods
build()
public AutoMlImageSegmentationMetadata build()| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationMetadata |
|
buildPartial()
public AutoMlImageSegmentationMetadata buildPartial()| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationMetadata |
|
clear()
public AutoMlImageSegmentationMetadata.Builder clear()| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationMetadata.Builder |
|
clearCostMilliNodeHours()
public AutoMlImageSegmentationMetadata.Builder clearCostMilliNodeHours()The actual training cost of creating this model, expressed in milli node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed to not exceed inputs.budgetMilliNodeHours.
int64 cost_milli_node_hours = 1;
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationMetadata.Builder |
This builder for chaining. |
clearSuccessfulStopReason()
public AutoMlImageSegmentationMetadata.Builder clearSuccessfulStopReason()For successful job completions, this is the reason why the job has finished.
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationMetadata.Builder |
This builder for chaining. |
getCostMilliNodeHours()
public long getCostMilliNodeHours()The actual training cost of creating this model, expressed in milli node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed to not exceed inputs.budgetMilliNodeHours.
int64 cost_milli_node_hours = 1;
| Returns | |
|---|---|
| Type | Description |
long |
The costMilliNodeHours. |
getDefaultInstanceForType()
public AutoMlImageSegmentationMetadata getDefaultInstanceForType()| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationMetadata |
|
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
getSuccessfulStopReason()
public AutoMlImageSegmentationMetadata.SuccessfulStopReason getSuccessfulStopReason()For successful job completions, this is the reason why the job has finished.
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationMetadata.SuccessfulStopReason |
The successfulStopReason. |
getSuccessfulStopReasonValue()
public int getSuccessfulStopReasonValue()For successful job completions, this is the reason why the job has finished.
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;
| Returns | |
|---|---|
| Type | Description |
int |
The enum numeric value on the wire for successfulStopReason. |
internalGetFieldAccessorTable()
protected GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()| Returns | |
|---|---|
| Type | Description |
FieldAccessorTable |
|
isInitialized()
public final boolean isInitialized()| Returns | |
|---|---|
| Type | Description |
boolean |
|
mergeFrom(AutoMlImageSegmentationMetadata other)
public AutoMlImageSegmentationMetadata.Builder mergeFrom(AutoMlImageSegmentationMetadata other)| Parameter | |
|---|---|
| Name | Description |
other |
AutoMlImageSegmentationMetadata |
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationMetadata.Builder |
|
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public AutoMlImageSegmentationMetadata.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)| Parameters | |
|---|---|
| Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationMetadata.Builder |
|
| Exceptions | |
|---|---|
| Type | Description |
IOException |
|
mergeFrom(Message other)
public AutoMlImageSegmentationMetadata.Builder mergeFrom(Message other)| Parameter | |
|---|---|
| Name | Description |
other |
Message |
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationMetadata.Builder |
|
setCostMilliNodeHours(long value)
public AutoMlImageSegmentationMetadata.Builder setCostMilliNodeHours(long value)The actual training cost of creating this model, expressed in milli node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed to not exceed inputs.budgetMilliNodeHours.
int64 cost_milli_node_hours = 1;
| Parameter | |
|---|---|
| Name | Description |
value |
longThe costMilliNodeHours to set. |
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationMetadata.Builder |
This builder for chaining. |
setSuccessfulStopReason(AutoMlImageSegmentationMetadata.SuccessfulStopReason value)
public AutoMlImageSegmentationMetadata.Builder setSuccessfulStopReason(AutoMlImageSegmentationMetadata.SuccessfulStopReason value)For successful job completions, this is the reason why the job has finished.
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;
| Parameter | |
|---|---|
| Name | Description |
value |
AutoMlImageSegmentationMetadata.SuccessfulStopReasonThe successfulStopReason to set. |
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationMetadata.Builder |
This builder for chaining. |
setSuccessfulStopReasonValue(int value)
public AutoMlImageSegmentationMetadata.Builder setSuccessfulStopReasonValue(int value)For successful job completions, this is the reason why the job has finished.
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;
| Parameter | |
|---|---|
| Name | Description |
value |
intThe enum numeric value on the wire for successfulStopReason to set. |
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationMetadata.Builder |
This builder for chaining. |